[Numpy-discussion] [SciPy-Dev] PyRSB: Python interface to librsb sparse matrices library

Sebastian Berg sebastian at sipsolutions.net
Sat Jun 24 16:07:55 EDT 2017

On Sat, 2017-06-24 at 15:47 -0400, josef.pktd at gmail.com wrote:
> On Sat, Jun 24, 2017 at 3:16 PM, Nathaniel Smith <njs at pobox.com>
> wrote:
> > On Jun 24, 2017 7:29 AM, "Sylvain Corlay" <sylvain.corlay at gmail.com
> > > wrote:
> > 
> > Also, one quick question: is the LGPL license a deliberate choice
> > or is it not important to you? Most projects in the Python
> > scientific stack are BSD licensed. So the LGPL choice makes it
> > unlikely that a higher-level project adopts it as a dependency. If
> > you are the only copyright holder, you would still have the
> > possibility to license it under a more permissive license such as
> > BSD or MIT...
> > 
> > Why would LGPL be a problem in a dependency? That doesn't stop you
> > making your code BSD, and it's less restrictive license-wise than
> > depending on MKL or the windows C runtime...
> > 
> Is scipy still including any LGPL code, I thought not.
> There might still be some optional dependencies that not many users
> are using by default. ?
> Julia packages are mostly MIT, AFAIK. (except for the GPL parts
> because of cholmod, which we (?) avoid)

Well, I don't think scipy has many dependencies (but I would not be
surprised if those are LGPL). Not a specialist, but as a dependency it
should be fine (that is the point of the L in LGPL after all as far as
I understand, it is much less viral).
If you package it with your own stuff, you have to make sure to point
out that parts are LGPL of course (just like there is a reason you get
the GPL printed out with some devices) and if you modify it provide
these modifications, etc.

Of course you cannot include it into the scipy codebase itself, but
there is probably no aim of doing so here, so without a specific reason
 I would think that LGPL is a great license.

- Sebastian

> Josef
> > -n
> > 
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